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Titlebook: Clinical Prediction Models; A Practical Approach Ewout W. Steyerberg Book 2019Latest edition Springer Nature Switzerland AG 2019 Anästhesie

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发表于 2025-3-21 17:30:16 | 显示全部楼层 |阅读模式
书目名称Clinical Prediction Models
副标题A Practical Approach
编辑Ewout W. Steyerberg
视频videohttp://file.papertrans.cn/229/228182/228182.mp4
概述Features, in this new edition, a discussion of Big Data and its implications of the design of prediction models.Includes, in this new edition, new case studies, more simulations with missing "y" value
丛书名称Statistics for Biology and Health
图书封面Titlebook: Clinical Prediction Models; A Practical Approach Ewout W. Steyerberg Book 2019Latest edition Springer Nature Switzerland AG 2019 Anästhesie
描述.The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but  a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice..There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making.  In this Big Data era,  there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment.  Clinical Prediction Models presents a practical checklist that needs to be considered for development of avalid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters wit
出版日期Book 2019Latest edition
关键词Anästhesie-Informations-Management-System; Data-analysis; Evidence-Based Medicine; Prediction; Radiologi
版次2
doihttps://doi.org/10.1007/978-3-030-16399-0
isbn_softcover978-3-030-16401-0
isbn_ebook978-3-030-16399-0Series ISSN 1431-8776 Series E-ISSN 2197-5671
issn_series 1431-8776
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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发表于 2025-3-21 20:40:25 | 显示全部楼层
Book 2019Latest editions a practical checklist that needs to be considered for development of avalid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters wit
发表于 2025-3-22 00:26:17 | 显示全部楼层
Ewout W. SteyerbergFeatures, in this new edition, a discussion of Big Data and its implications of the design of prediction models.Includes, in this new edition, new case studies, more simulations with missing "y" value
发表于 2025-3-22 07:18:06 | 显示全部楼层
Statistics for Biology and Healthhttp://image.papertrans.cn/c/image/228182.jpg
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978-3-030-16401-0Springer Nature Switzerland AG 2019
发表于 2025-3-22 20:28:06 | 显示全部楼层
Clinical Prediction Models978-3-030-16399-0Series ISSN 1431-8776 Series E-ISSN 2197-5671
发表于 2025-3-22 22:09:20 | 显示全部楼层
Supporting Marketing Applications, medicine. Predictions come from statistical models or algorithms that may be developed with more stringent or more relaxed assumptions. The reliability of predictions suffers from aleatory and epistemic uncertainty, which relate to sample size and broader epidemiologic concepts of generalizability. Finally, the structure of the book is presented.
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